Senior Data Engineer

Harnham; Town of Florida (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Harnham, a leading data analytics organization, partners with a rapidly growing financial services firm to recruit a Senior Data Engineer who will help build and scale a modern enterprise data platform.

The role emphasizes designing data pipelines, data models, and cloud infrastructure powering analytics and decision-making. The position requires onsite work 4 days/week in Austin, TX or Miami, FL.

Qualifications

• 5+ years of data engineering experience.
• Hands-on with Python, SQL, dbt.
• Experience building production data pipelines.
• Azure cloud experience.
• Strong data modeling and architecture skills.
• Independent, ownership of initiatives.
• Excellent communication and stakeholder management.

Responsibilities

• Design and build scalable data pipelines and ingestion frameworks
• Develop and optimize data models for analytics and reporting
• Build and enhance cloud-based data platform capabilities within Azure
• Develop solutions using Python, SQL, and dbt
• Improve data quality, monitoring, reliability, and operational processes
• Partner with analytics, engineering, and business teams to deliver data solutions
• Own projects from design through deployment and support

Skills

Python

SQL

dbt

Azure

Data modeling

Data architecture

Stakeholder management

Communication

Tools

Snowflake

Databricks

Airflow

Job description

Location and Compensation

Location: Austin, TX or Miami, FL (Hybrid 4 Days/Week Onsite)

Compensation: Up to $170,000 Base Salary

About the Role

We\'re partnering with a rapidly growing financial services organization seeking a Senior Data Engineer to help build and scale a modern enterprise data platform.

This is a highly visible, hands-on role focused on developing data pipelines, data models, and cloud-based data infrastructure that power analytics and business decision-making across the organization.

Please note: Candidates must be located in or willing to relocate to Austin, TX or Miami, FL and work onsite 4 days per week. This requirement is non-negotiable.

Responsibilities

• Design and build scalable data pipelines and ingestion frameworks
• Develop and optimize data models for analytics and reporting
• Build and enhance cloud-based data platform capabilities within Azure
• Develop solutions using Python, SQL, and dbt
• Improve data quality, monitoring, reliability, and operational processes
• Partner with analytics, engineering, and business teams to deliver data solutions
• Own projects from design through deployment and support

Requirements

• 5+ years of Data Engineering experience
• Strong hands-on expertise with Python, SQL, and dbt
• Experience building and maintaining production data pipelines
• Azure cloud experience
• Strong understanding of data modeling and data architecture
• Ability to work independently and take ownership of complex initiatives
• Excellent communication and stakeholder management skills

Why Join?

• High-impact, high-visibility role
• Opportunity to shape a growing modern data platform
• Strong ownership and architectural influence
• Career growth within a rapidly expanding organization

Location Requirement

This position requires employees to be onsite 4 days per week in Austin, TX or Miami, FL. Candidates who are not local or unable to meet the onsite expectation will not be considered.

Desired Skills and Experience

• 7+ years of experience in Data Science, Revenue Analytics, Marketing Analytics, Business Analytics, or related disciplines.
• 3+ years of experience leading analytics or data science teams.
• Strong experience supporting Go-To-Market functions including Sales, Marketing, Customer Success, and Revenue Operations.
• Demonstrated success influencing business decisions through data and analytics.
• Strong SQL expertise and experience working with Python-based analytics environments.
• Background in machine learning, predictive modeling, experimentation, and statistical analysis.
• Experience working with modern cloud data platforms such as Snowflake, Databricks, dbt, Airflow, or similar technologies.
• Understanding of SaaS business models, subscription metrics, and revenue operations.
• Strategic thinker with strong business acumen.
• Comfortable operating in fast-paced and evolving environments.
• Exceptional communication and stakeholder management skills.
• Ability to balance executive-level strategy with hands-on analytical leadership.